Spark: Dataframe action really slow when upgraded from 2.1.0 to 2.2.1












0















I just upgraded spark 2.1.0 to spark 2.2.1. Has anyone seen extreme slow behavior on dataframe.filter(…).collect()?.. specifically a collect operation with filter before. dataframe.collect seems to run okay. However, dataframe.filter(…).collect() takes forever. it contains only 2 records. and its on a unit test. When I go back to spark 2.1.0, its back to normal speed



I have looked at the thread dump and could not find an obvious cause. I have made an effort to make sure all the libraries I am using are also using Spark 2.2.1. Any suggestion would be greatly appreciated.



It seems to be stuck at this stacktrace



scala.collection.mutable.FlatHashTable$class.addEntry(FlatHashTable.scala:151)

scala.collection.mutable.HashSet.addEntry(HashSet.scala:40)

scala.collection.mutable.FlatHashTable$class.addElem(FlatHashTable.scala:142)

scala.collection.mutable.HashSet.addElem(HashSet.scala:40)

scala.collection.mutable.HashSet.$plus$eq(HashSet.scala:59)

scala.collection.mutable.HashSet.$plus$eq(HashSet.scala:40)

scala.collection.generic.Growable$$anonfun$$plus$plus$eq$1.apply(Growable.scala:59)

scala.collection.generic.Growable$$anonfun$$plus$plus$eq$1.apply(Growable.scala:59)

scala.collection.mutable.HashSet.foreach(HashSet.scala:78)

scala.collection.generic.Growable$class.$plus$plus$eq(Growable.scala:59)

scala.collection.mutable.AbstractSet.$plus$plus$eq(Set.scala:46)

scala.collection.mutable.HashSet.clone(HashSet.scala:83)

scala.collection.mutable.HashSet.clone(HashSet.scala:40)

org.apache.spark.sql.catalyst.expressions.ExpressionSet.$plus(ExpressionSet.scala:65)

org.apache.spark.sql.catalyst.expressions.ExpressionSet.$plus(ExpressionSet.scala:50)

scala.collection.SetLike$$anonfun$$plus$plus$1.apply(SetLike.scala:141)

scala.collection.SetLike$$anonfun$$plus$plus$1.apply(SetLike.scala:141)

scala.collection.TraversableOnce$$anonfun$foldLeft$1.apply(TraversableOnce.scala:157)

scala.collection.TraversableOnce$$anonfun$foldLeft$1.apply(TraversableOnce.scala:157)

scala.collection.immutable.HashSet$HashSet1.foreach(HashSet.scala:316)

scala.collection.immutable.HashSet$HashTrieSet.foreach(HashSet.scala:972)

scala.collection.immutable.HashSet$HashTrieSet.foreach(HashSet.scala:972)

scala.collection.immutable.HashSet$HashTrieSet.foreach(HashSet.scala:972)

scala.collection.immutable.HashSet$HashTrieSet.foreach(HashSet.scala:972)

scala.collection.TraversableOnce$class.foldLeft(TraversableOnce.scala:157)

scala.collection.AbstractTraversable.foldLeft(Traversable.scala:104)

scala.collection.TraversableOnce$class.$div$colon(TraversableOnce.scala:151)

scala.collection.AbstractTraversable.$div$colon(Traversable.scala:104)

scala.collection.SetLike$class.$plus$plus(SetLike.scala:141)

org.apache.spark.sql.catalyst.expressions.ExpressionSet.$plus$plus(ExpressionSet.scala:50)

org.apache.spark.sql.catalyst.plans.logical.UnaryNode$$anonfun$getAliasedConstraints$1.apply(LogicalPlan.scala:323)

org.apache.spark.sql.catalyst.plans.logical.UnaryNode$$anonfun$getAliasedConstraints$1.apply(LogicalPlan.scala:320)

scala.collection.immutable.List.foreach(List.scala:392)

org.apache.spark.sql.catalyst.plans.logical.UnaryNode.getAliasedConstraints(LogicalPlan.scala:320)

org.apache.spark.sql.catalyst.plans.logical.Project.validConstraints(basicLogicalOperators.scala:65)

org.apache.spark.sql.catalyst.plans.QueryPlan.constraints$lzycompute(QueryPlan.scala:188) => holding Monitor(org.apache.spark.sql.catalyst.plans.logical.Aggregate@1129881457})

org.apache.spark.sql.catalyst.plans.QueryPlan.constraints(QueryPlan.scala:188)

org.apache.spark.sql.catalyst.plans.logical.Aggregate.validConstraints(basicLogicalOperators.scala:555)

org.apache.spark.sql.catalyst.plans.QueryPlan.constraints$lzycompute(QueryPlan.scala:188) => holding Monitor(org.apache.spark.sql.catalyst.plans.logical.Aggregate@1129881457})

org.apache.spark.sql.catalyst.plans.QueryPlan.constraints(QueryPlan.scala:188)

org.apache.spark.sql.catalyst.plans.QueryPlan.getConstraints(QueryPlan.scala:196)

org.apache.spark.sql.catalyst.optimizer.PruneFilters$$anonfun$apply$16$$anonfun$25.apply(Optimizer.scala:717)

org.apache.spark.sql.catalyst.optimizer.PruneFilters$$anonfun$apply$16$$anonfun$25.apply(Optimizer.scala:716)

scala.collection.TraversableLike$$anonfun$partition$1.apply(TraversableLike.scala:314)

scala.collection.TraversableLike$$anonfun$partition$1.apply(TraversableLike.scala:314)

scala.collection.immutable.List.foreach(List.scala:392)

scala.collection.TraversableLike$class.partition(TraversableLike.scala:314)

scala.collection.AbstractTraversable.partition(Traversable.scala:104)

org.apache.spark.sql.catalyst.optimizer.PruneFilters$$anonfun$apply$16.applyOrElse(Optimizer.scala:716)

org.apache.spark.sql.catalyst.optimizer.PruneFilters$$anonfun$apply$16.applyOrElse(Optimizer.scala:705)

org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$2.apply(TreeNode.scala:267)

org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$2.apply(TreeNode.scala:267)

org.apache.spark.sql.catalyst.trees.CurrentOrigin$.withOrigin(TreeNode.scala:70)

org.apache.spark.sql.catalyst.trees.TreeNode.transformDown(TreeNode.scala:266)

org.apache.spark.sql.catalyst.trees.TreeNode.transform(TreeNode.scala:256)

org.apache.spark.sql.catalyst.optimizer.PruneFilters.apply(Optimizer.scala:705)

org.apache.spark.sql.catalyst.optimizer.PruneFilters.apply(Optimizer.scala:704)

org.apache.spark.sql.catalyst.rules.RuleExecutor$$anonfun$execute$1$$anonfun$apply$1.apply(RuleExecutor.scala:85)

org.apache.spark.sql.catalyst.rules.RuleExecutor$$anonfun$execute$1$$anonfun$apply$1.apply(RuleExecutor.scala:82)

scala.collection.LinearSeqOptimized$class.foldLeft(LinearSeqOptimized.scala:124)

scala.collection.immutable.List.foldLeft(List.scala:84)

org.apache.spark.sql.catalyst.rules.RuleExecutor$$anonfun$execute$1.apply(RuleExecutor.scala:82)

org.apache.spark.sql.catalyst.rules.RuleExecutor$$anonfun$execute$1.apply(RuleExecutor.scala:74)

scala.collection.immutable.List.foreach(List.scala:392)

org.apache.spark.sql.catalyst.rules.RuleExecutor.execute(RuleExecutor.scala:74)

org.apache.spark.sql.execution.QueryExecution.optimizedPlan$lzycompute(QueryExecution.scala:78) => holding Monitor(org.apache.spark.sql.execution.QueryExecution@1193326176})

org.apache.spark.sql.execution.QueryExecution.optimizedPlan(QueryExecution.scala:78)

org.apache.spark.sql.execution.QueryExecution.sparkPlan$lzycompute(QueryExecution.scala:84) => holding Monitor(org.apache.spark.sql.execution.QueryExecution@1193326176})

org.apache.spark.sql.execution.QueryExecution.sparkPlan(QueryExecution.scala:80)

org.apache.spark.sql.execution.QueryExecution.executedPlan$lzycompute(QueryExecution.scala:89) => holding Monitor(org.apache.spark.sql.execution.QueryExecution@1193326176})

org.apache.spark.sql.execution.QueryExecution.executedPlan(QueryExecution.scala:89)

org.apache.spark.sql.Dataset.withAction(Dataset.scala:2837)

org.apache.spark.sql.Dataset.collect(Dataset.scala:2387)





java scala apache-spark







share|improve this question




















  • 2





    need more details. it was very generic question. have you checked spark ui like stages etc...?

    – Ram Ghadiyaram
    Nov 20 '18 at 20:19











  • @RamGhadiyaram yeah spark ui shows that there are no "ACTIVE" jobs running. In other words, number of "COMPLETED" jobs it shows is 28 and it stays that way for the rest of the time. So I pause the execution of my test using IntelliJ to check what line of code its running or stuck at. Everytime I pause it, it shows to be executing some lines of code in scala.collection package. To be exact, sameElements is the function that it gets paused at a lot..

    – Karan Gupta
    Nov 22 '18 at 0:55


















0















I just upgraded spark 2.1.0 to spark 2.2.1. Has anyone seen extreme slow behavior on dataframe.filter(…).collect()?.. specifically a collect operation with filter before. dataframe.collect seems to run okay. However, dataframe.filter(…).collect() takes forever. it contains only 2 records. and its on a unit test. When I go back to spark 2.1.0, its back to normal speed



I have looked at the thread dump and could not find an obvious cause. I have made an effort to make sure all the libraries I am using are also using Spark 2.2.1. Any suggestion would be greatly appreciated.



It seems to be stuck at this stacktrace



scala.collection.mutable.FlatHashTable$class.addEntry(FlatHashTable.scala:151)

scala.collection.mutable.HashSet.addEntry(HashSet.scala:40)

scala.collection.mutable.FlatHashTable$class.addElem(FlatHashTable.scala:142)

scala.collection.mutable.HashSet.addElem(HashSet.scala:40)

scala.collection.mutable.HashSet.$plus$eq(HashSet.scala:59)

scala.collection.mutable.HashSet.$plus$eq(HashSet.scala:40)

scala.collection.generic.Growable$$anonfun$$plus$plus$eq$1.apply(Growable.scala:59)

scala.collection.generic.Growable$$anonfun$$plus$plus$eq$1.apply(Growable.scala:59)

scala.collection.mutable.HashSet.foreach(HashSet.scala:78)

scala.collection.generic.Growable$class.$plus$plus$eq(Growable.scala:59)

scala.collection.mutable.AbstractSet.$plus$plus$eq(Set.scala:46)

scala.collection.mutable.HashSet.clone(HashSet.scala:83)

scala.collection.mutable.HashSet.clone(HashSet.scala:40)

org.apache.spark.sql.catalyst.expressions.ExpressionSet.$plus(ExpressionSet.scala:65)

org.apache.spark.sql.catalyst.expressions.ExpressionSet.$plus(ExpressionSet.scala:50)

scala.collection.SetLike$$anonfun$$plus$plus$1.apply(SetLike.scala:141)

scala.collection.SetLike$$anonfun$$plus$plus$1.apply(SetLike.scala:141)

scala.collection.TraversableOnce$$anonfun$foldLeft$1.apply(TraversableOnce.scala:157)

scala.collection.TraversableOnce$$anonfun$foldLeft$1.apply(TraversableOnce.scala:157)

scala.collection.immutable.HashSet$HashSet1.foreach(HashSet.scala:316)

scala.collection.immutable.HashSet$HashTrieSet.foreach(HashSet.scala:972)

scala.collection.immutable.HashSet$HashTrieSet.foreach(HashSet.scala:972)

scala.collection.immutable.HashSet$HashTrieSet.foreach(HashSet.scala:972)

scala.collection.immutable.HashSet$HashTrieSet.foreach(HashSet.scala:972)

scala.collection.TraversableOnce$class.foldLeft(TraversableOnce.scala:157)

scala.collection.AbstractTraversable.foldLeft(Traversable.scala:104)

scala.collection.TraversableOnce$class.$div$colon(TraversableOnce.scala:151)

scala.collection.AbstractTraversable.$div$colon(Traversable.scala:104)

scala.collection.SetLike$class.$plus$plus(SetLike.scala:141)

org.apache.spark.sql.catalyst.expressions.ExpressionSet.$plus$plus(ExpressionSet.scala:50)

org.apache.spark.sql.catalyst.plans.logical.UnaryNode$$anonfun$getAliasedConstraints$1.apply(LogicalPlan.scala:323)

org.apache.spark.sql.catalyst.plans.logical.UnaryNode$$anonfun$getAliasedConstraints$1.apply(LogicalPlan.scala:320)

scala.collection.immutable.List.foreach(List.scala:392)

org.apache.spark.sql.catalyst.plans.logical.UnaryNode.getAliasedConstraints(LogicalPlan.scala:320)

org.apache.spark.sql.catalyst.plans.logical.Project.validConstraints(basicLogicalOperators.scala:65)

org.apache.spark.sql.catalyst.plans.QueryPlan.constraints$lzycompute(QueryPlan.scala:188) => holding Monitor(org.apache.spark.sql.catalyst.plans.logical.Aggregate@1129881457})

org.apache.spark.sql.catalyst.plans.QueryPlan.constraints(QueryPlan.scala:188)

org.apache.spark.sql.catalyst.plans.logical.Aggregate.validConstraints(basicLogicalOperators.scala:555)

org.apache.spark.sql.catalyst.plans.QueryPlan.constraints$lzycompute(QueryPlan.scala:188) => holding Monitor(org.apache.spark.sql.catalyst.plans.logical.Aggregate@1129881457})

org.apache.spark.sql.catalyst.plans.QueryPlan.constraints(QueryPlan.scala:188)

org.apache.spark.sql.catalyst.plans.QueryPlan.getConstraints(QueryPlan.scala:196)

org.apache.spark.sql.catalyst.optimizer.PruneFilters$$anonfun$apply$16$$anonfun$25.apply(Optimizer.scala:717)

org.apache.spark.sql.catalyst.optimizer.PruneFilters$$anonfun$apply$16$$anonfun$25.apply(Optimizer.scala:716)

scala.collection.TraversableLike$$anonfun$partition$1.apply(TraversableLike.scala:314)

scala.collection.TraversableLike$$anonfun$partition$1.apply(TraversableLike.scala:314)

scala.collection.immutable.List.foreach(List.scala:392)

scala.collection.TraversableLike$class.partition(TraversableLike.scala:314)

scala.collection.AbstractTraversable.partition(Traversable.scala:104)

org.apache.spark.sql.catalyst.optimizer.PruneFilters$$anonfun$apply$16.applyOrElse(Optimizer.scala:716)

org.apache.spark.sql.catalyst.optimizer.PruneFilters$$anonfun$apply$16.applyOrElse(Optimizer.scala:705)

org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$2.apply(TreeNode.scala:267)

org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$2.apply(TreeNode.scala:267)

org.apache.spark.sql.catalyst.trees.CurrentOrigin$.withOrigin(TreeNode.scala:70)

org.apache.spark.sql.catalyst.trees.TreeNode.transformDown(TreeNode.scala:266)

org.apache.spark.sql.catalyst.trees.TreeNode.transform(TreeNode.scala:256)

org.apache.spark.sql.catalyst.optimizer.PruneFilters.apply(Optimizer.scala:705)

org.apache.spark.sql.catalyst.optimizer.PruneFilters.apply(Optimizer.scala:704)

org.apache.spark.sql.catalyst.rules.RuleExecutor$$anonfun$execute$1$$anonfun$apply$1.apply(RuleExecutor.scala:85)

org.apache.spark.sql.catalyst.rules.RuleExecutor$$anonfun$execute$1$$anonfun$apply$1.apply(RuleExecutor.scala:82)

scala.collection.LinearSeqOptimized$class.foldLeft(LinearSeqOptimized.scala:124)

scala.collection.immutable.List.foldLeft(List.scala:84)

org.apache.spark.sql.catalyst.rules.RuleExecutor$$anonfun$execute$1.apply(RuleExecutor.scala:82)

org.apache.spark.sql.catalyst.rules.RuleExecutor$$anonfun$execute$1.apply(RuleExecutor.scala:74)

scala.collection.immutable.List.foreach(List.scala:392)

org.apache.spark.sql.catalyst.rules.RuleExecutor.execute(RuleExecutor.scala:74)

org.apache.spark.sql.execution.QueryExecution.optimizedPlan$lzycompute(QueryExecution.scala:78) => holding Monitor(org.apache.spark.sql.execution.QueryExecution@1193326176})

org.apache.spark.sql.execution.QueryExecution.optimizedPlan(QueryExecution.scala:78)

org.apache.spark.sql.execution.QueryExecution.sparkPlan$lzycompute(QueryExecution.scala:84) => holding Monitor(org.apache.spark.sql.execution.QueryExecution@1193326176})

org.apache.spark.sql.execution.QueryExecution.sparkPlan(QueryExecution.scala:80)

org.apache.spark.sql.execution.QueryExecution.executedPlan$lzycompute(QueryExecution.scala:89) => holding Monitor(org.apache.spark.sql.execution.QueryExecution@1193326176})

org.apache.spark.sql.execution.QueryExecution.executedPlan(QueryExecution.scala:89)

org.apache.spark.sql.Dataset.withAction(Dataset.scala:2837)

org.apache.spark.sql.Dataset.collect(Dataset.scala:2387)





java scala apache-spark







share|improve this question




















  • 2





    need more details. it was very generic question. have you checked spark ui like stages etc...?

    – Ram Ghadiyaram
    Nov 20 '18 at 20:19











  • @RamGhadiyaram yeah spark ui shows that there are no "ACTIVE" jobs running. In other words, number of "COMPLETED" jobs it shows is 28 and it stays that way for the rest of the time. So I pause the execution of my test using IntelliJ to check what line of code its running or stuck at. Everytime I pause it, it shows to be executing some lines of code in scala.collection package. To be exact, sameElements is the function that it gets paused at a lot..

    – Karan Gupta
    Nov 22 '18 at 0:55
















0












0








0








I just upgraded spark 2.1.0 to spark 2.2.1. Has anyone seen extreme slow behavior on dataframe.filter(…).collect()?.. specifically a collect operation with filter before. dataframe.collect seems to run okay. However, dataframe.filter(…).collect() takes forever. it contains only 2 records. and its on a unit test. When I go back to spark 2.1.0, its back to normal speed



I have looked at the thread dump and could not find an obvious cause. I have made an effort to make sure all the libraries I am using are also using Spark 2.2.1. Any suggestion would be greatly appreciated.



It seems to be stuck at this stacktrace



scala.collection.mutable.FlatHashTable$class.addEntry(FlatHashTable.scala:151)

scala.collection.mutable.HashSet.addEntry(HashSet.scala:40)

scala.collection.mutable.FlatHashTable$class.addElem(FlatHashTable.scala:142)

scala.collection.mutable.HashSet.addElem(HashSet.scala:40)

scala.collection.mutable.HashSet.$plus$eq(HashSet.scala:59)

scala.collection.mutable.HashSet.$plus$eq(HashSet.scala:40)

scala.collection.generic.Growable$$anonfun$$plus$plus$eq$1.apply(Growable.scala:59)

scala.collection.generic.Growable$$anonfun$$plus$plus$eq$1.apply(Growable.scala:59)

scala.collection.mutable.HashSet.foreach(HashSet.scala:78)

scala.collection.generic.Growable$class.$plus$plus$eq(Growable.scala:59)

scala.collection.mutable.AbstractSet.$plus$plus$eq(Set.scala:46)

scala.collection.mutable.HashSet.clone(HashSet.scala:83)

scala.collection.mutable.HashSet.clone(HashSet.scala:40)

org.apache.spark.sql.catalyst.expressions.ExpressionSet.$plus(ExpressionSet.scala:65)

org.apache.spark.sql.catalyst.expressions.ExpressionSet.$plus(ExpressionSet.scala:50)

scala.collection.SetLike$$anonfun$$plus$plus$1.apply(SetLike.scala:141)

scala.collection.SetLike$$anonfun$$plus$plus$1.apply(SetLike.scala:141)

scala.collection.TraversableOnce$$anonfun$foldLeft$1.apply(TraversableOnce.scala:157)

scala.collection.TraversableOnce$$anonfun$foldLeft$1.apply(TraversableOnce.scala:157)

scala.collection.immutable.HashSet$HashSet1.foreach(HashSet.scala:316)

scala.collection.immutable.HashSet$HashTrieSet.foreach(HashSet.scala:972)

scala.collection.immutable.HashSet$HashTrieSet.foreach(HashSet.scala:972)

scala.collection.immutable.HashSet$HashTrieSet.foreach(HashSet.scala:972)

scala.collection.immutable.HashSet$HashTrieSet.foreach(HashSet.scala:972)

scala.collection.TraversableOnce$class.foldLeft(TraversableOnce.scala:157)

scala.collection.AbstractTraversable.foldLeft(Traversable.scala:104)

scala.collection.TraversableOnce$class.$div$colon(TraversableOnce.scala:151)

scala.collection.AbstractTraversable.$div$colon(Traversable.scala:104)

scala.collection.SetLike$class.$plus$plus(SetLike.scala:141)

org.apache.spark.sql.catalyst.expressions.ExpressionSet.$plus$plus(ExpressionSet.scala:50)

org.apache.spark.sql.catalyst.plans.logical.UnaryNode$$anonfun$getAliasedConstraints$1.apply(LogicalPlan.scala:323)

org.apache.spark.sql.catalyst.plans.logical.UnaryNode$$anonfun$getAliasedConstraints$1.apply(LogicalPlan.scala:320)

scala.collection.immutable.List.foreach(List.scala:392)

org.apache.spark.sql.catalyst.plans.logical.UnaryNode.getAliasedConstraints(LogicalPlan.scala:320)

org.apache.spark.sql.catalyst.plans.logical.Project.validConstraints(basicLogicalOperators.scala:65)

org.apache.spark.sql.catalyst.plans.QueryPlan.constraints$lzycompute(QueryPlan.scala:188) => holding Monitor(org.apache.spark.sql.catalyst.plans.logical.Aggregate@1129881457})

org.apache.spark.sql.catalyst.plans.QueryPlan.constraints(QueryPlan.scala:188)

org.apache.spark.sql.catalyst.plans.logical.Aggregate.validConstraints(basicLogicalOperators.scala:555)

org.apache.spark.sql.catalyst.plans.QueryPlan.constraints$lzycompute(QueryPlan.scala:188) => holding Monitor(org.apache.spark.sql.catalyst.plans.logical.Aggregate@1129881457})

org.apache.spark.sql.catalyst.plans.QueryPlan.constraints(QueryPlan.scala:188)

org.apache.spark.sql.catalyst.plans.QueryPlan.getConstraints(QueryPlan.scala:196)

org.apache.spark.sql.catalyst.optimizer.PruneFilters$$anonfun$apply$16$$anonfun$25.apply(Optimizer.scala:717)

org.apache.spark.sql.catalyst.optimizer.PruneFilters$$anonfun$apply$16$$anonfun$25.apply(Optimizer.scala:716)

scala.collection.TraversableLike$$anonfun$partition$1.apply(TraversableLike.scala:314)

scala.collection.TraversableLike$$anonfun$partition$1.apply(TraversableLike.scala:314)

scala.collection.immutable.List.foreach(List.scala:392)

scala.collection.TraversableLike$class.partition(TraversableLike.scala:314)

scala.collection.AbstractTraversable.partition(Traversable.scala:104)

org.apache.spark.sql.catalyst.optimizer.PruneFilters$$anonfun$apply$16.applyOrElse(Optimizer.scala:716)

org.apache.spark.sql.catalyst.optimizer.PruneFilters$$anonfun$apply$16.applyOrElse(Optimizer.scala:705)

org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$2.apply(TreeNode.scala:267)

org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$2.apply(TreeNode.scala:267)

org.apache.spark.sql.catalyst.trees.CurrentOrigin$.withOrigin(TreeNode.scala:70)

org.apache.spark.sql.catalyst.trees.TreeNode.transformDown(TreeNode.scala:266)

org.apache.spark.sql.catalyst.trees.TreeNode.transform(TreeNode.scala:256)

org.apache.spark.sql.catalyst.optimizer.PruneFilters.apply(Optimizer.scala:705)

org.apache.spark.sql.catalyst.optimizer.PruneFilters.apply(Optimizer.scala:704)

org.apache.spark.sql.catalyst.rules.RuleExecutor$$anonfun$execute$1$$anonfun$apply$1.apply(RuleExecutor.scala:85)

org.apache.spark.sql.catalyst.rules.RuleExecutor$$anonfun$execute$1$$anonfun$apply$1.apply(RuleExecutor.scala:82)

scala.collection.LinearSeqOptimized$class.foldLeft(LinearSeqOptimized.scala:124)

scala.collection.immutable.List.foldLeft(List.scala:84)

org.apache.spark.sql.catalyst.rules.RuleExecutor$$anonfun$execute$1.apply(RuleExecutor.scala:82)

org.apache.spark.sql.catalyst.rules.RuleExecutor$$anonfun$execute$1.apply(RuleExecutor.scala:74)

scala.collection.immutable.List.foreach(List.scala:392)

org.apache.spark.sql.catalyst.rules.RuleExecutor.execute(RuleExecutor.scala:74)

org.apache.spark.sql.execution.QueryExecution.optimizedPlan$lzycompute(QueryExecution.scala:78) => holding Monitor(org.apache.spark.sql.execution.QueryExecution@1193326176})

org.apache.spark.sql.execution.QueryExecution.optimizedPlan(QueryExecution.scala:78)

org.apache.spark.sql.execution.QueryExecution.sparkPlan$lzycompute(QueryExecution.scala:84) => holding Monitor(org.apache.spark.sql.execution.QueryExecution@1193326176})

org.apache.spark.sql.execution.QueryExecution.sparkPlan(QueryExecution.scala:80)

org.apache.spark.sql.execution.QueryExecution.executedPlan$lzycompute(QueryExecution.scala:89) => holding Monitor(org.apache.spark.sql.execution.QueryExecution@1193326176})

org.apache.spark.sql.execution.QueryExecution.executedPlan(QueryExecution.scala:89)

org.apache.spark.sql.Dataset.withAction(Dataset.scala:2837)

org.apache.spark.sql.Dataset.collect(Dataset.scala:2387)





java scala apache-spark







share|improve this question
















I just upgraded spark 2.1.0 to spark 2.2.1. Has anyone seen extreme slow behavior on dataframe.filter(…).collect()?.. specifically a collect operation with filter before. dataframe.collect seems to run okay. However, dataframe.filter(…).collect() takes forever. it contains only 2 records. and its on a unit test. When I go back to spark 2.1.0, its back to normal speed



I have looked at the thread dump and could not find an obvious cause. I have made an effort to make sure all the libraries I am using are also using Spark 2.2.1. Any suggestion would be greatly appreciated.



It seems to be stuck at this stacktrace



scala.collection.mutable.FlatHashTable$class.addEntry(FlatHashTable.scala:151)

scala.collection.mutable.HashSet.addEntry(HashSet.scala:40)

scala.collection.mutable.FlatHashTable$class.addElem(FlatHashTable.scala:142)

scala.collection.mutable.HashSet.addElem(HashSet.scala:40)

scala.collection.mutable.HashSet.$plus$eq(HashSet.scala:59)

scala.collection.mutable.HashSet.$plus$eq(HashSet.scala:40)

scala.collection.generic.Growable$$anonfun$$plus$plus$eq$1.apply(Growable.scala:59)

scala.collection.generic.Growable$$anonfun$$plus$plus$eq$1.apply(Growable.scala:59)

scala.collection.mutable.HashSet.foreach(HashSet.scala:78)

scala.collection.generic.Growable$class.$plus$plus$eq(Growable.scala:59)

scala.collection.mutable.AbstractSet.$plus$plus$eq(Set.scala:46)

scala.collection.mutable.HashSet.clone(HashSet.scala:83)

scala.collection.mutable.HashSet.clone(HashSet.scala:40)

org.apache.spark.sql.catalyst.expressions.ExpressionSet.$plus(ExpressionSet.scala:65)

org.apache.spark.sql.catalyst.expressions.ExpressionSet.$plus(ExpressionSet.scala:50)

scala.collection.SetLike$$anonfun$$plus$plus$1.apply(SetLike.scala:141)

scala.collection.SetLike$$anonfun$$plus$plus$1.apply(SetLike.scala:141)

scala.collection.TraversableOnce$$anonfun$foldLeft$1.apply(TraversableOnce.scala:157)

scala.collection.TraversableOnce$$anonfun$foldLeft$1.apply(TraversableOnce.scala:157)

scala.collection.immutable.HashSet$HashSet1.foreach(HashSet.scala:316)

scala.collection.immutable.HashSet$HashTrieSet.foreach(HashSet.scala:972)

scala.collection.immutable.HashSet$HashTrieSet.foreach(HashSet.scala:972)

scala.collection.immutable.HashSet$HashTrieSet.foreach(HashSet.scala:972)

scala.collection.immutable.HashSet$HashTrieSet.foreach(HashSet.scala:972)

scala.collection.TraversableOnce$class.foldLeft(TraversableOnce.scala:157)

scala.collection.AbstractTraversable.foldLeft(Traversable.scala:104)

scala.collection.TraversableOnce$class.$div$colon(TraversableOnce.scala:151)

scala.collection.AbstractTraversable.$div$colon(Traversable.scala:104)

scala.collection.SetLike$class.$plus$plus(SetLike.scala:141)

org.apache.spark.sql.catalyst.expressions.ExpressionSet.$plus$plus(ExpressionSet.scala:50)

org.apache.spark.sql.catalyst.plans.logical.UnaryNode$$anonfun$getAliasedConstraints$1.apply(LogicalPlan.scala:323)

org.apache.spark.sql.catalyst.plans.logical.UnaryNode$$anonfun$getAliasedConstraints$1.apply(LogicalPlan.scala:320)

scala.collection.immutable.List.foreach(List.scala:392)

org.apache.spark.sql.catalyst.plans.logical.UnaryNode.getAliasedConstraints(LogicalPlan.scala:320)

org.apache.spark.sql.catalyst.plans.logical.Project.validConstraints(basicLogicalOperators.scala:65)

org.apache.spark.sql.catalyst.plans.QueryPlan.constraints$lzycompute(QueryPlan.scala:188) => holding Monitor(org.apache.spark.sql.catalyst.plans.logical.Aggregate@1129881457})

org.apache.spark.sql.catalyst.plans.QueryPlan.constraints(QueryPlan.scala:188)

org.apache.spark.sql.catalyst.plans.logical.Aggregate.validConstraints(basicLogicalOperators.scala:555)

org.apache.spark.sql.catalyst.plans.QueryPlan.constraints$lzycompute(QueryPlan.scala:188) => holding Monitor(org.apache.spark.sql.catalyst.plans.logical.Aggregate@1129881457})

org.apache.spark.sql.catalyst.plans.QueryPlan.constraints(QueryPlan.scala:188)

org.apache.spark.sql.catalyst.plans.QueryPlan.getConstraints(QueryPlan.scala:196)

org.apache.spark.sql.catalyst.optimizer.PruneFilters$$anonfun$apply$16$$anonfun$25.apply(Optimizer.scala:717)

org.apache.spark.sql.catalyst.optimizer.PruneFilters$$anonfun$apply$16$$anonfun$25.apply(Optimizer.scala:716)

scala.collection.TraversableLike$$anonfun$partition$1.apply(TraversableLike.scala:314)

scala.collection.TraversableLike$$anonfun$partition$1.apply(TraversableLike.scala:314)

scala.collection.immutable.List.foreach(List.scala:392)

scala.collection.TraversableLike$class.partition(TraversableLike.scala:314)

scala.collection.AbstractTraversable.partition(Traversable.scala:104)

org.apache.spark.sql.catalyst.optimizer.PruneFilters$$anonfun$apply$16.applyOrElse(Optimizer.scala:716)

org.apache.spark.sql.catalyst.optimizer.PruneFilters$$anonfun$apply$16.applyOrElse(Optimizer.scala:705)

org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$2.apply(TreeNode.scala:267)

org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$2.apply(TreeNode.scala:267)

org.apache.spark.sql.catalyst.trees.CurrentOrigin$.withOrigin(TreeNode.scala:70)

org.apache.spark.sql.catalyst.trees.TreeNode.transformDown(TreeNode.scala:266)

org.apache.spark.sql.catalyst.trees.TreeNode.transform(TreeNode.scala:256)

org.apache.spark.sql.catalyst.optimizer.PruneFilters.apply(Optimizer.scala:705)

org.apache.spark.sql.catalyst.optimizer.PruneFilters.apply(Optimizer.scala:704)

org.apache.spark.sql.catalyst.rules.RuleExecutor$$anonfun$execute$1$$anonfun$apply$1.apply(RuleExecutor.scala:85)

org.apache.spark.sql.catalyst.rules.RuleExecutor$$anonfun$execute$1$$anonfun$apply$1.apply(RuleExecutor.scala:82)

scala.collection.LinearSeqOptimized$class.foldLeft(LinearSeqOptimized.scala:124)

scala.collection.immutable.List.foldLeft(List.scala:84)

org.apache.spark.sql.catalyst.rules.RuleExecutor$$anonfun$execute$1.apply(RuleExecutor.scala:82)

org.apache.spark.sql.catalyst.rules.RuleExecutor$$anonfun$execute$1.apply(RuleExecutor.scala:74)

scala.collection.immutable.List.foreach(List.scala:392)

org.apache.spark.sql.catalyst.rules.RuleExecutor.execute(RuleExecutor.scala:74)

org.apache.spark.sql.execution.QueryExecution.optimizedPlan$lzycompute(QueryExecution.scala:78) => holding Monitor(org.apache.spark.sql.execution.QueryExecution@1193326176})

org.apache.spark.sql.execution.QueryExecution.optimizedPlan(QueryExecution.scala:78)

org.apache.spark.sql.execution.QueryExecution.sparkPlan$lzycompute(QueryExecution.scala:84) => holding Monitor(org.apache.spark.sql.execution.QueryExecution@1193326176})

org.apache.spark.sql.execution.QueryExecution.sparkPlan(QueryExecution.scala:80)

org.apache.spark.sql.execution.QueryExecution.executedPlan$lzycompute(QueryExecution.scala:89) => holding Monitor(org.apache.spark.sql.execution.QueryExecution@1193326176})

org.apache.spark.sql.execution.QueryExecution.executedPlan(QueryExecution.scala:89)

org.apache.spark.sql.Dataset.withAction(Dataset.scala:2837)

org.apache.spark.sql.Dataset.collect(Dataset.scala:2387)





java scala apache-spark




java scala apache-spark






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edited Nov 22 '18 at 1:11







Karan Gupta

















asked Nov 20 '18 at 20:03









Karan GuptaKaran Gupta

113




113








  • 2





    need more details. it was very generic question. have you checked spark ui like stages etc...?

    – Ram Ghadiyaram
    Nov 20 '18 at 20:19











  • @RamGhadiyaram yeah spark ui shows that there are no "ACTIVE" jobs running. In other words, number of "COMPLETED" jobs it shows is 28 and it stays that way for the rest of the time. So I pause the execution of my test using IntelliJ to check what line of code its running or stuck at. Everytime I pause it, it shows to be executing some lines of code in scala.collection package. To be exact, sameElements is the function that it gets paused at a lot..

    – Karan Gupta
    Nov 22 '18 at 0:55
















  • 2





    need more details. it was very generic question. have you checked spark ui like stages etc...?

    – Ram Ghadiyaram
    Nov 20 '18 at 20:19











  • @RamGhadiyaram yeah spark ui shows that there are no "ACTIVE" jobs running. In other words, number of "COMPLETED" jobs it shows is 28 and it stays that way for the rest of the time. So I pause the execution of my test using IntelliJ to check what line of code its running or stuck at. Everytime I pause it, it shows to be executing some lines of code in scala.collection package. To be exact, sameElements is the function that it gets paused at a lot..

    – Karan Gupta
    Nov 22 '18 at 0:55










2




2





need more details. it was very generic question. have you checked spark ui like stages etc...?

– Ram Ghadiyaram
Nov 20 '18 at 20:19





need more details. it was very generic question. have you checked spark ui like stages etc...?

– Ram Ghadiyaram
Nov 20 '18 at 20:19













@RamGhadiyaram yeah spark ui shows that there are no "ACTIVE" jobs running. In other words, number of "COMPLETED" jobs it shows is 28 and it stays that way for the rest of the time. So I pause the execution of my test using IntelliJ to check what line of code its running or stuck at. Everytime I pause it, it shows to be executing some lines of code in scala.collection package. To be exact, sameElements is the function that it gets paused at a lot..

– Karan Gupta
Nov 22 '18 at 0:55







@RamGhadiyaram yeah spark ui shows that there are no "ACTIVE" jobs running. In other words, number of "COMPLETED" jobs it shows is 28 and it stays that way for the rest of the time. So I pause the execution of my test using IntelliJ to check what line of code its running or stuck at. Everytime I pause it, it shows to be executing some lines of code in scala.collection package. To be exact, sameElements is the function that it gets paused at a lot..

– Karan Gupta
Nov 22 '18 at 0:55














1 Answer
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Fixed it. So the problem was regarding this property spark.sql.constraintPropagation.enabled. The default value is true in Spark 2.2.1. The stacktrace indicates that its stuck in some query plan generation. I found my answer in this blog



Short answer: Set the said property to false. spark.conf.set(SQLConf.CONSTRAINT_PROPAGATION_ENABLED.key, false)






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    Fixed it. So the problem was regarding this property spark.sql.constraintPropagation.enabled. The default value is true in Spark 2.2.1. The stacktrace indicates that its stuck in some query plan generation. I found my answer in this blog



    Short answer: Set the said property to false. spark.conf.set(SQLConf.CONSTRAINT_PROPAGATION_ENABLED.key, false)






    share|improve this answer




























      0














      Fixed it. So the problem was regarding this property spark.sql.constraintPropagation.enabled. The default value is true in Spark 2.2.1. The stacktrace indicates that its stuck in some query plan generation. I found my answer in this blog



      Short answer: Set the said property to false. spark.conf.set(SQLConf.CONSTRAINT_PROPAGATION_ENABLED.key, false)






      share|improve this answer


























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        0







        Fixed it. So the problem was regarding this property spark.sql.constraintPropagation.enabled. The default value is true in Spark 2.2.1. The stacktrace indicates that its stuck in some query plan generation. I found my answer in this blog



        Short answer: Set the said property to false. spark.conf.set(SQLConf.CONSTRAINT_PROPAGATION_ENABLED.key, false)






        share|improve this answer













        Fixed it. So the problem was regarding this property spark.sql.constraintPropagation.enabled. The default value is true in Spark 2.2.1. The stacktrace indicates that its stuck in some query plan generation. I found my answer in this blog



        Short answer: Set the said property to false. spark.conf.set(SQLConf.CONSTRAINT_PROPAGATION_ENABLED.key, false)







        share|improve this answer












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        share|improve this answer










        answered Nov 22 '18 at 21:39









        Karan GuptaKaran Gupta

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